Bridging the Scales via Personalized Cellular Modeling and Deep Phenotyping in Schizophrenia - Takeaways - MDSpire

Bridging the Scales via Personalized Cellular Modeling and Deep Phenotyping in Schizophrenia

  • By

  • Florian J. Raabe

  • David Popovic

  • Clara Vetter

  • Laura E. Fischer

  • Genc Hasanaj

  • Berkhan Karslı

  • Tim J. Schäfer

  • Valeria Almeida

  • Alessia Atella

  • Miriam Gagliardi

  • Emanuel Boudriot

  • Vladislav Yakimov

  • Lucia Trastulla

  • Tengjia Jiang

  • Clara Weyer

  • Lukas Roell

  • Joanna Moussiopoulou

  • Lenka Krčmář

  • Sabrina Galinski

  • Irina Papazova

  • Oliver Pogarell

  • Alkomiet Hasan

  • Eva C. Schulte

  • Andrea Schmitt

  • Nikolaos Koutsouleris

  • Anna Levina

  • Elias Wagner

  • Moritz J. Rossner

  • Sergi Papiol

  • Peter Falkai

  • Daniel Keeser

  • Michael J. Ziller

  • CDP Working Group

  • Stephanie Behrens

  • Man-Hsin Chang

  • Valéria de Almeida

  • Sylvia de Jonge

  • Fanny Dengl

  • Lina Dürrwald

  • Nadja Gabellini

  • Vanessa Gabriel

  • Thomas Geyer

  • Katharina Hanken

  • Alexandra Hisch

  • Georgios Ioannou

  • Marcus Ising

  • Iris Jäger

  • Marcel Kallweit

  • Temmuz Karali

  • Susanne Karch

  • Christoph Kern

  • Nicole L. Klimas

  • Maxim Korman

  • Lenka Krcmar

  • Verena Meisinger

  • Julian Melcher

  • Matin Mortazavi

  • Karin Neumeier

  • Frank Padberg

  • Boris Papazov

  • Pauline Pingen

  • Siegfried G. Priglinger

  • Philipp Sämann

  • Susanne Schmölz

  • Enrico Schulz

  • Benedikt Schworm

  • Sophie Seeburger

  • Sven Wichert

  • Peter Zill

  • May 1, 2026

  • 0 min

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  • 1

    Cognitive deficits in schizophrenia are linked to synaptic dysfunction from genetic and environmental factors affecting brain connectivity.

  • 2

    Genome-wide association studies have identified numerous risk genes associated with synaptic function and neurotransmission in schizophrenia.

  • 3

    Induced pluripotent stem cells (iPSCs) provide a unique model to study molecular mechanisms and link them to cognitive impairments in schizophrenia.

  • 4

    The study integrates deep phenotyping, iPSC-derived neurons, and machine learning to explore the neurobiological basis of cognitive deficits in schizophrenia.

  • 5

    Findings indicate significant correlations between cognitive performance and brain structure in schizophrenia, highlighting the potential for personalized interventions.

Original Source(s)

Bridging the Scales via Personalized Cellular Modeling and Deep Phenotyping in Schizophrenia

  • by Florian J. Raabe, David Popovic, Clara Vetter, Laura E. Fischer, Genc Hasanaj, Berkhan Karslı, Tim J. Schäfer, Valeria Almeida, Alessia Atella, Miriam Gagliardi, Emanuel Boudriot, Vladislav Yakimov, Lucia Trastulla, Tengjia Jiang, Clara Weyer, Lukas Roell, Joanna Moussiopoulou, Lenka Krčmář, Sabrina Galinski, Irina Papazova, Oliver Pogarell, Alkomiet Hasan, Eva C. Schulte, Andrea Schmitt, Nikolaos Koutsouleris, Anna Levina, Elias Wagner, Moritz J. Rossner, Sergi Papiol, Peter Falkai, Daniel Keeser, Michael J. Ziller, CDP Working Group, Stephanie Behrens, Man-Hsin Chang, Valéria de Almeida, Sylvia de Jonge, Fanny Dengl, Lina Dürrwald, Nadja Gabellini, Vanessa Gabriel, Thomas Geyer, Katharina Hanken, Alexandra Hisch, Georgios Ioannou, Marcus Ising, Iris Jäger, Marcel Kallweit, Temmuz Karali, Susanne Karch, Christoph Kern, Nicole L. Klimas, Maxim Korman, Lenka Krcmar, Verena Meisinger, Julian Melcher, Matin Mortazavi, Karin Neumeier, Frank Padberg, Boris Papazov, Pauline Pingen, Siegfried G. Priglinger, Philipp Sämann, Susanne Schmölz, Enrico Schulz, Benedikt Schworm, Sophie Seeburger, Sven Wichert, Peter Zill

  • May 1, 2026

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